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Rebeca Sanz-Pamplona

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Bioinformatics· 1

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Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1 Research Focus:trajectory inference· 1 Assay:whole-genome sequencing· 1

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Alex GraudenziiD· 1 shared Bud Mishra· 1 shared DANIELE RAMAZZOTTIiD· 1 shared Giancarlo MauriiD· 1 shared Giulio CaravagnaiD· 1 shared Luca De Sano· 1 shared Marco AntoniottiiD· 1 shared Victor Moreno· 1 shared

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Alex GraudenziORCID

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1 paper

Recent·Most cited

BioinformaticsProceedings of the National Academy of SciencesPeer-reviewedJun 28, 2016

Algorithmic Methods to Infer the Evolutionary Trajectories in Cancer Progression

Giulio Caravagna, Alex Graudenzi, DANIELE RAMAZZOTTI…·Bud Mishra

The paper introduces PiCnIc, a machine learning pipeline to infer cancer progression models from NGS data, demonstrating its application to colorectal cancer and suggesting novel hypotheses.

DOI 10.1073/pnas.1520213113

humanwhole-genome sequencing

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